ABSTRACT

As in the study of statistical models, we consider first the counterpart of classical probability models, namely, the case of random sets on finite spaces. This framework is simple and is not encumbered with technical details. Many of the concepts presented here have counterparts in the general theory that is dealt with in Chapter 5. The study of random sets in this finite case illustrates the results we can expect to obtain in more abstract spaces.